Responsible AI Architecture with Zero Trust Agents

As we shift from simple chatbots to long-running agents, we face a critical engineering challenge. The risk is no longer just bad output. It is memory poisoning. This occurs when malicious data permanently corrupts your vector database, causing agents to hallucinate or leak private information indefinitely.

This session will present a Zero Trust architecture for Responsible AI starting prompt injection until agent isolation. We will dissect a reference stack built entirely on open source standards that treats your vector storage as a high-security vault.

Attendees will walk away with practical techniques to: Replace risky API keys with cryptographic verification using SPIFFE and SPIRE, ensuring only valid code can access long-term memory.

Use policies to write security rules as code, separating your safety logic from your application logic. Block sensitive data and malicious prompts before they are ever stored using tools like Microsoft Presidio.

Join me to learn how to build agents that are resilient, audit-ready, and secure by design.